A Challenging Diagnostic Was Required

I was confronted with a relatively complex set of timeseries data and events. They were intertwined. I needed to do some diagnostics on the incoming data and the events. It was all trading related. The prices and moving averages looked like continous variables and the trading events were buried in all the other activity. The number of datapoints could be quite large at times. This visualization was done with plotly. If you hover over the plot you will see the Plotly menu appear. Here you can access the zoom feature. This affords users the ability to examine details milestone and timeseries data at a very low level. The tool allowed the creation of a very custom plot in a relatively short period of time. Also the tips or tooltips when hovering over various objects offer considerable customization. For example, some of these events can have additional metrics or notes added to aid in diagnostics or understanding. Also this plot was created and exported to an HTML. This allowed for it to be embedded in a static webpage without the need of webserving infrastructure. For some organizations this can provide both cost and security benefits.